Data Scientist – ExpertLeidos
Description
Leidos is actively interviewing for a Data Scientist – Expert to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Expert Level Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
- Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
- Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
- Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
- Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
- Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
- Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
- Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
- Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
- Support data governance, security, compliance, and responsible AI practices within government mission environments.
- Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
- Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.
Required Technical Skills
- Statistical modeling and inference
- Machine learning and artificial intelligence
- Predictive analytics and forecasting
- Data mining and pattern analysis
- Feature engineering and model evaluation
- Data wrangling, integration, and transformation
- Python, R, SQL, and scientific computing libraries
- Visualization and dashboarding tools
- Model deployment, monitoring, and lifecycle support
- Documentation, briefing development, and technical communication
Basic Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
- Minimum of 12–15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
- Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
- Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
- Strong programming experience in Python, R, SQL, or similar analytic languages.
- Experience working with large, complex, and potentially disparate datasets in enterprise environments.
- Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
- Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
- Active TS/SCI with ability to be approved for a Poly
Preferred Qualifications
- Master’s degree or Ph.D. in a relevant quantitative or technical discipline.
- Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
- Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
- Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
- Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
- Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
- Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
- Experience briefing senior government leadership and mission stakeholders.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
May 15, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
